
from __future__ import print_function

import tensorflow as tf
import numpy as np
import pandas as pd
import gp_db

import os
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
#
# v1 = tf.constant([[2,3],[2,3],[2,3]])
# v2 = tf.constant([[2],[3]])
# # Start tf session
#
# product = tf.matmul(v1,v2)
# sess = tf.Session()
# # Run the op
# print(sess.run(product))
# sess.close();

# arr = [[1,2,3,4,5],[1,2,5,4,5]]
# arr1 = np.multiply(arr,1/10.0)
# arr2 = np.array([[1,2,3,4,5],[1,2,5,4,5]])
# arr3= (arr2[:,2]==3)
# print(arr3)
# print(arr2[arr3,:])
# print(np.arange(2,100,0.9))
# print(np.random.random(2,3))


batch =1
n_batch = 3
print("批次："+ str(batch) +"/" + str(n_batch) )